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Robust Formation Control Based on Leader-Following Consensus in Multi-Agent Systems With Faults in the Information Exchange: Application in a Fleet of Unmanned Aerial Vehicles

Juan Antonio Vázquez Trejo, Manuel Adam‐Medina, C.D. García‐Beltrán, Gerardo Guerrero, Betty Yolanda Lopez Zapata, Eduardo Mael Sánchez-Coronado, Didier Theilliol

2021IEEE Access21 citationsDOIOpen Access PDF

Abstract

In this paper, a robust leader-following consensus protocol for multi-agent systems (MASs) subject to faults in the information exchange and disturbance is presented. The problem under consideration is to guarantee the convergence of the agent trajectories to a leader agent when all the agent followers are under faults in the information exchange as smooth time-varying delays and disturbances. The main contribution in this paper is the design of a robust leader-following control through the Lyapunov approach and an optimal \mathscr H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> criterion such that all agents follow a virtual leader agent despite faults in the information exchange and disturbances. Linear matrix inequalities (LMIs)-based conditions are obtained whose solution allows computing the robust controller gain. In order to show the effectiveness of the proposed approach, numerical examples are carried out comparing a state-of-the-art approach and the proposed strategy in a fleet of unmanned aerial vehicles (UAVs) subject to wind turbulence which are shown to achieve the formation control.

Topics & Concepts

Multi-agent systemConvergence (economics)Computer scienceInformation exchangeControl theory (sociology)Controller (irrigation)MechatronicsLyapunov functionRobust controlState (computer science)Protocol (science)Control (management)Control systemArtificial intelligenceAlgorithmEngineeringEconomicsAgronomyPathologyTelecommunicationsAlternative medicinePhysicsNonlinear systemMedicineQuantum mechanicsBiologyElectrical engineeringEconomic growthDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationUAV Applications and Optimization
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